html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/5919#issuecomment-957345077,https://api.github.com/repos/pydata/xarray/issues/5919,957345077,IC_kwDOAMm_X845D-01,10194086,2021-11-02T11:16:39Z,2021-11-02T11:16:39Z,MEMBER,Should get fixed upstream: https://github.com/pandas-dev/pandas/pull/44285,"{""total_count"": 3, ""+1"": 3, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1040003067
https://github.com/pydata/xarray/issues/5919#issuecomment-956829554,https://api.github.com/repos/pydata/xarray/issues/5919,956829554,IC_kwDOAMm_X845CA9y,10194086,2021-11-01T23:04:41Z,2021-11-01T23:04:58Z,MEMBER,"The test failures can be reproduced with:
```python
import pandas as pd
import numpy as np
np.array(0) == pd.Period(""2000"", freq=""B"")
```
This returns `False` in pandas 1.3.4 but raises `TypeError: iteration over a 0-d array` in pandas master. I think the culprit is https://github.com/pandas-dev/pandas/pull/44182 which added a code path for numpy arrays in `Period.__richcmp__`. 

The failure happens in
https://github.com/pydata/xarray/blob/3e442e760cc99a4b695eaaed27a286ce6e8fa6aa/xarray/tests/test_variable.py#L326

and we could fix it with 

```diff
-        assert v[0] == pd.Period(""2000"", freq=""B"")
+        assert v[0:1] == pd.Period(""2000"", freq=""B"")
```
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1040003067